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M. Killian, B. Mayer, M. Kozek:
"Effective Fuzzy Black-Box Modeling for Building Heating Dynamics";
Energy and Buildings, 96 (2015), 175 - 186.

In this paper an effective modeling approach for building heating dynamics is presented. The
proposed model is a so-called fuzzy black-box model. This data-based model is able to reproduce
the nonlinear dynamic behavior of a complex office building split into different zones. The fuzzy
black-box model is based on local linear models (LLM), for which a 2-dimensional partition space
is obtained. In the proposed work data pre-processing is one of the most important tasks and thus
extensively explained. This includes the selection of suitable input and output data and selection
of appropriate model orders. Furthermore, it is presented that even with a small amount of data
good models can be achieved. The output of this LLM algorithm is an autoregressive model with
exogenous input (ARX). The resulting model is specifically tailored for model-based control design.
The uniqueness of the presented work lies not only in the low-order of the building model, but also
in the way of retrieving a model in the most effective and time-saving way.

building modeling, black-box modeling, nonlinear dynamic model, local linear models (LLM)

http://dx.doi.org/10.1016/j.enbuild.2015.02.057

Project Head Martin Kozek:
Robuste Prädiktive Regelstrategien zur Optimierung des Energieeinsatzes in Gebäuden